Abstract: The fusion of federated learning and differential privacy can provide more comprehensive and rigorous privacy protection, thus attracting extensive interests from both academia and industry.
Breaking into 4 independent services means: Scale each based on actual need (crawler needs 10 instances, matcher needs 2) Test one piece at a time (ship faster, iterate publicly) Different tech ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback